hypermesh-sim

hypermesh-sim is a skill for Claude Code, Codex from svd-ai-lab/sim-cli. It costs 34 tokens per session (488 once invoked), scanned A, original, Apache-2.0.

A guide for preparing and checking simulation meshes in HyperMesh, an engineering tool that turns model geometry into computational elements. It uses a visible desktop session so a person can inspect the work as it happens.

In plain words
What is it for?
Importing and cleaning geometry, generating meshes, checking quality, assigning loads or properties, exporting files, and reviewing each bounded step with an engineer.
Why use it?
It provides checkpoints and measurable results instead of relying only on whether a command finished. This helps catch bad imports, poor mesh quality, or incorrect assignments before export.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Importing and cleaning geometry, generating meshes, checking quality, assigning loads or properties, exporting files, and reviewing each bounded step with an engineer.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/svd-ai-lab/sim-cli/hypermesh
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add svd-ai-lab/sim-cli --skill hypermesh
Clone the repo
git clone --depth 1 https://github.com/svd-ai-lab/sim-cli

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for hypermesh-sim

README.md
[![agentmods](https://agentmods.dev/badge/skills/svd-ai-lab/sim-cli/hypermesh/github.svg)](https://agentmods.dev/skills/svd-ai-lab/sim-cli/hypermesh)
Your own site
<a href="https://agentmods.dev/skills/svd-ai-lab/sim-cli/hypermesh"><img src="https://agentmods.dev/badge/skills/svd-ai-lab/sim-cli/hypermesh/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for hypermesh-sim

Your own site · 80×15
<a href="https://agentmods.dev/skills/svd-ai-lab/sim-cli/hypermesh"><img src="https://agentmods.dev/badge/skills/svd-ai-lab/sim-cli/hypermesh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 488 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.00488
Opus 5.5 $0.00014 $0.00195
Sonnet 5.5 $0.00007 $0.00098
Haiku 4.5 $0.00003 $0.00049

Measured 2d ago against content hash 86a4883d9f58, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hypermesh-sim scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/hypermesh/src/sim_plugin_hypermesh/_skills/hypermesh/SKILL.md · 72 lines

What it actually says

hypermesh-sim

Use this skill for visible, human-in-the-loop HyperMesh work through sim. The goal is a shared mesh-preparation loop, not unattended headless execution.

Preferred Loop

  1. Check availability:
uv run sim check hypermesh
  1. Connect with a visible desktop session:
uv run sim connect --solver hypermesh --ui-mode gui --workspace .\workspace
uv run sim inspect session.health
  1. Execute one bounded step at a time:
uv run sim exec --file .\step.py --label mesh-step
uv run sim inspect last.result
uv run sim inspect hypermesh.workspace.files
  1. Visually inspect the GUI after meaningful actions: import, cleanup, mesh generation, quality checks, load/property assignment, and export.

  2. Save or export checkpoints before moving to the next layer.

Snippet Rules

  • Keep each snippet small enough to review from last.result.
  • Write a JSON-serializable object to _result when possible.
  • Prefer numeric acceptance data: node/element counts, quality criteria, exported file paths, warnings, and failed entity counts.
  • Do not rely on process exit alone as engineering acceptance.
  • If the human changes the GUI, inspect health/results again before continuing.

Expected Result Shape

Useful snippets set _result, for example:

_result = {
    "ok": True,
    "stage": "mesh-quality",
    "nodes": 1200,
    "elements": 950,
    "max_aspect": 4.2,
    "exported": r"C:\work\case\mesh.fem",
}

The plugin wraps snippets and returns stdout, stderr, _result, elapsed time, and workspace artifacts through uv run sim inspect last.result.

Hard Stops

  • If session.health.connected is false, reconnect before making changes.
  • If a GUI dialog appears, resolve it visibly before continuing.
  • If a mesh step produces no counts, no export, and no quality data, treat it as incomplete even if the command returned successfully.
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 72 lines · 34 tokens per session scan A 86a4883d9f58

Subscribe to this mod's changes

hypermesh-sim is a skill published in the GitHub repository svd-ai-lab/sim-cli (239 stars, last pushed yesterday), licensed Apache-2.0. It adds 34 tokens to every session and 488 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-19.

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